Text Network Analysis for Bias Detection in Discourse
From 35C3 Wiki
Description | A quick intro on how text network analysis can be used to detect bias in discourse and to generate insight from any text. |
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Website(s) | https://noduslabs.com/category/tutorials/ |
Type | Talk |
Kids session | No |
Keyword(s) | software, network, security, safety |
Tags | analytics, text, TNA, text mining, analysis, discourse, bias, insight, networks, graphs, dataviz, visualization |
Person organizing | |
Language | en - English |
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Starts at | 2018/12/28 14:30 |
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Ends at | 2018/12/28 15:00 |
Duration | 30 minutes |
Location | Room:Seminar room 14-15 |
Text network analysis and visualization is a great way to represent textual data in order to get a different perspective on it. This helps one gain a better understanding of the main topics within an ongoing discourse, their relation to one another, and whether there are any structural gaps in the graph — the place where the new potential ideas could emerge. Finally, knowing the discourse's structure can also help us identify the level of bias in discourse. I will demonstrate how this works using the open-source software http://infranodus.com — so you can use it too for your own projects or for any other types of textual data.